Seungryong Kim
Seungryong Kim
Assistant Professor of CS, Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
S Kim, D Min, B Ham, S Lin, K Sohn
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (3), 581 - 595, 2019
1052019
Fcss: Fully convolutional self-similarity for dense semantic correspondence
S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1052017
Unified depth prediction and intrinsic image decomposition from a single image via joint convolutional neural fields
S Kim, K Park, K Sohn, S Lin
European conference on computer vision, 143-159, 2016
872016
DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence
S Kim, D Min, B Ham, S Ryu, MN Do, K Sohn
Proceedings of the IEEE conference on computer vision and pattern …, 2015
812015
Recurrent transformer networks for semantic correspondence
S Kim, S Lin, S Jeon, D Min, K Sohn
arXiv preprint arXiv:1810.12155, 2018
572018
Context-aware emotion recognition networks
J Lee, S Kim, S Kim, J Park, K Sohn
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
482019
Dctm: Discrete-continuous transformation matching for semantic flow
S Kim, D Min, S Lin, K Sohn
Proceedings of the IEEE International Conference on Computer Vision, 4529-4538, 2017
432017
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks
H Choi, S Kim, K Park, K Sohn
2016 23rd International Conference on Pattern Recognition (ICPR), 621-626, 2016
422016
Unified multi-spectral pedestrian detection based on probabilistic fusion networks
K Park, S Kim, K Sohn
Pattern Recognition 80, 143-155, 2018
402018
Mahalanobis distance cross-correlation for illumination-invariant stereo matching
S Kim, B Ham, B Kim, K Sohn
IEEE Transactions on Circuits and Systems for Video Technology 24 (11), 1844 …, 2014
362014
Parn: Pyramidal affine regression networks for dense semantic correspondence
S Jeon, S Kim, D Min, K Sohn
Proceedings of the European Conference on Computer Vision (ECCV), 351-366, 2018
302018
Feature augmentation for learning confidence measure in stereo matching
S Kim, D Min, S Kim, K Sohn
IEEE Transactions on Image Processing 26 (12), 6019-6033, 2017
282017
Unified confidence estimation networks for robust stereo matching
S Kim, D Min, S Kim, K Sohn
IEEE Transactions on Image Processing 28 (3), 1299-1313, 2018
272018
High-precision depth estimation with the 3d lidar and stereo fusion
K Park, S Kim, K Sohn
2018 IEEE International Conference on Robotics and Automation (ICRA), 2156-2163, 2018
272018
DASC: Robust dense descriptor for multi-modal and multi-spectral correspondence estimation
S Kim, D Min, B Ham, MN Do, K Sohn
IEEE transactions on pattern analysis and machine intelligence 39 (9), 1712-1729, 2017
252017
High-precision depth estimation using uncalibrated LiDAR and stereo fusion
K Park, S Kim, K Sohn
Ieee transactions on intelligent transportation systems 21 (1), 321-335, 2019
232019
A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments
J Son, S Kim, K Sohn
Expert Systems with Applications 42 (22), 8830-8839, 2015
232015
Laf-net: Locally adaptive fusion networks for stereo confidence estimation
S Kim, S Kim, D Min, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
202019
Semantic Attribute Matching Networks
S Kim, D Min, S Jeong, S Kim, S Jeon, K Sohn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
152019
Deep stereo confidence prediction for depth estimation
S Kim, D Min, B Ham, S Kim, K Sohn
2017 IEEE International Conference on Image Processing (ICIP), 992-996, 2017
152017
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